
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "98"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 80 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 76 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	5.520444	6.354295	69.224848	70.608358	21.239670	25.810755	25.080435	27.852072	0.0463	0.0564	0.0104	1.465604	1.979868
2459593	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.635164	17.070893	71.247927	73.984160	30.492311	36.758616	13.604827	10.731100	0.0445	0.0511	0.0082	1.471103	1.887408
2459592	digital_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.541609	1.534860	1.702458	1.561928	0.643082	0.961344	-1.335045	0.243792	0.1012	0.0981	0.0283	nan	nan
2459591	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.613436	20.227376	83.472529	85.819617	25.103152	32.253548	2.334907	1.022113	0.0406	0.0458	0.0073	1.438024	1.846206
2459590	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.791818	22.641338	77.571710	80.161925	28.025653	34.244563	2.986563	2.645519	0.0442	0.0524	0.0080	1.285298	1.301545
2459589	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.702872	20.682764	72.310664	74.455209	16.655629	21.660839	18.262702	16.045761	0.0447	0.0527	0.0085	1.369022	1.761388
2459588	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.204916	15.425484	87.735795	90.620437	22.146138	24.516902	14.919864	13.336756	0.0438	0.0511	0.0082	1.400025	1.819539
2459587	digital_maintenance	100.00%	-	-	-	100.00%	0.00%	20.120312	21.613384	116.954736	121.107528	21.959861	22.795395	47.200886	43.215139	nan	nan	nan	1.461355	1.284804
2459586	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.430458	18.138084	27.938189	28.376297	9.714430	11.292566	5.327706	4.601764	0.0415	0.0486	0.0070	1.278945	1.298750
2459585	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.260229	25.494101	6.497148	6.858187	9.246950	10.094030	2.572804	2.140628	0.0767	0.0809	0.0273	0.000000	0.000000
2459584	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.081297	26.878538	94.772767	97.647631	16.642380	18.622635	42.649517	40.904596	0.0404	0.0459	0.0058	1.673069	2.456629
2459583	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459582	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	296.421733	296.458822	inf	inf	11496.919461	11435.559746	6071.319036	6065.089243	nan	nan	nan	0.000000	0.000000
2459581	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.166767	24.577173	31.671457	31.041260	31.329976	22.450421	5.142633	0.123561	0.0431	0.0490	0.0070	1.392630	1.776052
2459580	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.302295	18.638082	30.770196	31.808040	20.481418	23.562135	0.103728	-0.004277	0.0449	0.0510	0.0075	0.000000	0.000000
2459579	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.247723	18.484018	36.998373	36.188623	23.041063	26.786423	6.543940	1.127011	0.0413	0.0467	0.0061	1.267075	1.308079
2459578	digital_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	1.931163	1.458210	0.250098	0.075857	43.654293	0.444989	10.121515	0.711187	0.0792	0.0617	0.0257	nan	nan
2459577	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.256785	23.789844	28.567276	29.043939	20.588191	24.390727	0.469610	0.146577	0.0438	0.0468	0.0048	1.433806	1.764521
2459576	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.195337	18.282625	22.761016	23.395764	18.769339	21.635785	1.086212	0.765306	0.0431	0.0474	0.0059	1.367163	1.779180
2459575	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	17.309042	18.822244	22.483133	23.151145	15.359249	16.843738	7.317971	6.315262	0.0454	0.0527	0.0068	1.602975	2.148267
2459574	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459573	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459572	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.884369	18.049826	21.708385	22.298718	14.784627	17.651739	5.797548	2.036218	0.0440	0.0482	0.0058	1.461511	1.837683
2459571	digital_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	1.416052	1.158097	0.031832	-0.035577	16.013036	0.096520	4.015687	0.867085	0.0812	0.0886	0.0300	nan	nan
2459570	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.883406	21.114196	29.517244	29.113750	12.705406	10.775659	9.317052	9.095602	0.0459	0.0553	0.0092	1.374355	1.762753
2459566	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.356391	17.385168	28.987744	28.870965	16.116641	21.392822	3.539688	-0.313724	0.0370	0.0398	0.0050	1.419196	1.831758
2459565	digital_maintenance	0.00%	-	-	-	100.00%	0.00%	1.497506	1.497506	1.384981	1.384981	0.646299	0.646299	0.130033	0.130033	nan	nan	nan	0.000000	0.000000
2459564	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	14.206365	14.852907	30.326170	30.848621	3.126807	2.293439	2.116268	0.408602	0.0409	0.0467	0.0067	1.401885	1.742586
2459563	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.294064	16.666538	58.008513	58.726702	18.286466	22.005610	11.724932	1.204609	0.0414	0.0473	0.0070	1.300121	1.320324
2459562	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.811857	11.452874	14.957632	15.156085	2.197652	2.668527	1.350500	0.532801	0.0421	0.0471	0.0062	1.337837	1.623086
2459561	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.518915	12.185120	14.260594	14.387492	3.222056	2.878772	3.926457	0.775753	0.0438	0.0501	0.0072	1.326744	1.640822
2459560	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.620012	11.104985	14.627201	14.594593	2.736505	2.867539	1.775031	0.392126	0.0418	0.0464	0.0067	1.406049	1.748573
2459559	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	13.225681	14.214154	16.041544	16.056378	2.775845	3.190397	1.965628	0.675149	0.0438	0.0509	0.0082	1.328550	1.591030
2459558	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.313460	18.684417	29.748118	30.597679	21.957915	22.930603	2.547476	1.089258	0.0429	0.0479	0.0063	1.445173	1.860858
2459556	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	18.625260	19.043524	32.270664	33.193430	18.779519	20.703588	5.212531	2.466369	0.0450	0.0502	0.0063	1.362445	1.392135
2459554	digital_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0429	0.0472	0.0058	nan	nan
2459553	digital_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0447	0.0518	0.0080	nan	nan
2459552	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459551	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.555554	11.111734	17.808290	17.780779	3.648633	4.087930	1.908500	0.714913	0.0424	0.0477	0.0065	1.332890	1.598905
2459550	digital_maintenance	-	98.35%	98.35%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.1029	0.0832	0.0221	nan	nan
2459549	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.854179	16.853707	33.307361	32.978677	20.414671	22.537157	3.825874	0.703251	0.0424	0.0460	0.0056	1.489640	1.890494
2459542	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.552499	22.408538	67.927530	67.218035	1.252250	1.931522	6.150612	0.721994	0.0413	0.0466	0.0067	1.343799	1.579928
2459541	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.954705	12.292763	33.109912	33.938112	185.943013	179.334459	16.867273	12.615106	0.0447	0.0500	0.0072	1.336914	1.344161
2459540	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	15.273818	16.601890	14.782731	15.265994	4.727340	5.428767	0.869702	0.746667	0.0433	0.0483	0.0067	1.260000	1.268067
2459536	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459535	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.847948	13.442983	13.811047	14.018297	2.952677	5.878080	0.365829	0.237371	0.0477	0.0528	0.0072	1.291435	1.316329
2459534	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459533	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.398897	20.557622	30.510539	30.894253	17.497148	20.491732	1.361996	1.077844	0.0405	0.0440	0.0050	1.384983	1.713777
2459532	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.288417	23.814703	41.691798	42.015825	20.794164	25.475277	1.455977	0.520169	0.0406	0.0442	0.0047	1.312104	1.331168
2459530	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	10.968790	11.867255	13.058933	13.132488	3.413259	4.216845	0.807891	0.331581	0.0488	0.0504	0.0056	1.456347	1.835237
2459527	digital_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.903820	28.328591	46.855593	47.608017	42.616981	36.078882	0.603873	0.276496	0.0444	0.0575	0.0119	0.000000	0.000000
2459523	digital_maintenance	100.00%	-	-	-	100.00%	0.00%	25.395876	23.916430	44.353450	44.322607	19.966816	29.701782	2.105116	0.904214	nan	nan	nan	1.753029	1.813189
2459522	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.792161	24.522168	44.032079	45.532956	11.471283	23.608936	3.345958	1.057527	0.0462	0.0471	0.0059	1.190078	1.226595
2459513	digital_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	1.783923	1.620695	0.100463	0.008893	2.204168	0.167140	3.545054	0.768215	0.1089	0.1029	0.0338	nan	nan
2459508	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	16.371467	31.383560	34.913753	45.168464	23.902766	15.939405	16.922221	14.891847	0.0492	0.0593	0.0069	0.000000	0.000000
2459505	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.940315	30.550133	40.887857	43.154842	7.494073	9.715013	2.898869	1.421906	0.0459	0.0505	0.0078	1.016138	1.004839
2459503	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	28.757480	30.469303	73.673825	74.295042	33.388440	33.834679	5.386544	2.505115	0.0423	0.0593	0.0148	0.000000	0.000000
2459501	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.661564	24.370198	48.517964	49.565750	24.098548	27.528856	2.587220	0.679453	0.0972	0.0571	0.0382	0.000000	0.000000
2459500	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.112232	28.292425	59.725169	61.170603	22.913697	27.485224	1.346087	0.876118	0.1146	0.0558	0.0485	0.000000	0.000000
2459499	digital_maintenance	100.00%	27.42%	100.00%	0.00%	100.00%	0.00%	22.310698	30.443984	76.616101	79.010220	22.853203	27.852320	3.216659	11.318266	0.3949	0.0640	0.1545	0.000000	0.000000
2459498	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	20.485266	26.222432	68.312518	70.553201	20.042784	24.704645	3.651985	4.119545	0.1078	0.0588	0.0403	0.000000	0.000000
2459497	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	22.786861	29.800890	77.041485	79.768140	25.811783	32.062406	2.415404	3.314095	0.1146	0.0619	0.0448	0.000000	0.000000
2459496	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	24.062234	31.379951	70.303055	72.381533	22.221530	28.961223	1.525559	1.937957	0.0755	0.0523	0.0186	0.000000	0.000000
2459495	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	19.205538	25.195585	65.408732	67.301108	18.893642	25.167973	2.960724	2.774738	0.0753	0.0519	0.0181	0.000000	0.000000
2459494	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	21.213656	27.449586	69.304455	71.806011	22.274014	28.375819	5.674621	5.849939	0.0724	0.0490	0.0189	0.000000	0.000000
2459492	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.035345	28.511494	48.860560	49.380093	21.288861	28.270863	5.147000	5.205443	0.0645	0.0480	0.0124	0.000000	0.000000
2459491	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.423392	27.288975	53.178137	54.259124	29.857675	42.777468	3.430640	12.358336	0.0756	0.0492	0.0227	0.000000	0.000000
2459490	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	30.060332	32.249701	55.776950	56.199326	20.559576	26.201334	4.677964	5.629961	0.0640	0.0473	0.0119	0.000000	0.000000
2459489	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	26.433489	27.467625	50.354441	51.089283	19.745693	27.762251	4.095404	7.712128	0.0686	0.0490	0.0170	0.000000	0.000000
2459488	digital_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	25.080602	26.229250	42.068010	42.336951	22.315953	30.203165	6.493208	9.310380	0.0647	0.0478	0.0138	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 98 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 98, Node 7:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 98: 2459603

Antenna 98: 2459602

Antenna 98: 2459598

Antenna 98: 2459597

Antenna 98: 2459596

Antenna 98: 2459595

Antenna 98: 2459594

Antenna 98: 2459593

Antenna 98: 2459592

Antenna 98: 2459591

Antenna 98: 2459590

Antenna 98: 2459589

Antenna 98: 2459588

Antenna 98: 2459587

Antenna 98: 2459586

Antenna 98: 2459585

Antenna 98: 2459584

Antenna 98: 2459583

Antenna 98: 2459582

Antenna 98: 2459581

Antenna 98: 2459580

Antenna 98: 2459579

Antenna 98: 2459578

Antenna 98: 2459577

Antenna 98: 2459576

Antenna 98: 2459575

Antenna 98: 2459574

Antenna 98: 2459573

Antenna 98: 2459572

Antenna 98: 2459571

Antenna 98: 2459570

Antenna 98: 2459569

Antenna 98: 2459566

Antenna 98: 2459565

Antenna 98: 2459564

Antenna 98: 2459563

Antenna 98: 2459562

Antenna 98: 2459561

Antenna 98: 2459560

Antenna 98: 2459559

Antenna 98: 2459558

Antenna 98: 2459556

Antenna 98: 2459552

Antenna 98: 2459551

Antenna 98: 2459549

Antenna 98: 2459542

Antenna 98: 2459541

Antenna 98: 2459540

Antenna 98: 2459536

Antenna 98: 2459535

Antenna 98: 2459534

Antenna 98: 2459533

Antenna 98: 2459532

Antenna 98: 2459530

Antenna 98: 2459527

Antenna 98: 2459524

Antenna 98: 2459523

Antenna 98: 2459522

Antenna 98: 2459513

Antenna 98: 2459508

Antenna 98: 2459506

Antenna 98: 2459505

Antenna 98: 2459503

Antenna 98: 2459501

Antenna 98: 2459500

Antenna 98: 2459499

Antenna 98: 2459498

Antenna 98: 2459497

Antenna 98: 2459496

Antenna 98: 2459495

Antenna 98: 2459494

Antenna 98: 2459492

Antenna 98: 2459491

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶